ISPRS-Annals ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences ISPRS-Annals ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci. 2194-9050 Copernicus Publications Göttingen, Germany 10.5194/isprsannals-II-5-W3-105-2015 Methodology of high-resolution photography for mural condition database Higuchi R. 1 Suzuki T. 2 Shibata M. 3 Taniguchi Y. 4 Dept. of Built Environment , Tokyo Institute of Technol ogy , Japan Asia - Japan Research Center, Kokushikan University, Japan National Research Institute for Cultural Properties, Japan Graduate School of Humanities and Social Sciences, University of Tsukuba, Japan 11 08 2015 II-5/W3 105 110 Copyright: © 2015 R. Higuchi et al. 2015 This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit https://creativecommons.org/licenses/by/3.0/ This article is available from https://isprs-annals.copernicus.org/articles/II-5-W3/105/2015/isprs-annals-II-5-W3-105-2015.html The full text article is available as a PDF file from https://isprs-annals.copernicus.org/articles/II-5-W3/105/2015/isprs-annals-II-5-W3-105-2015.pdf

Digital documentation is one of the most useful techniques to record the condition of cultural heritage. Recently, high-resolution images become increasingly useful because it is possible to show general views of mural paintings and also detailed mural conditions in a single image. As mural paintings are damaged by environmental stresses, it is necessary to record the details of painting condition on high-resolution base maps. Unfortunately, the cost of high-resolution photography and the difficulty of operating its instruments and software have commonly been an impediment for researchers and conservators. However, the recent development of graphic software makes its operation simpler and less expensive. In this paper, we suggest a new approach to make digital heritage inventories without special instruments, based on our recent our research project in Üzümlü church in Cappadocia, Turkey. This method enables us to achieve a high-resolution image database with low costs, short time, and limited human resources.